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Flipped Classroom and Collaborative Learning in Tool Design Education for Mechanical Engineering Technology

Conference Session: Computers in Education Division (COED) Track 5.D
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Zhou Zhang, SUNY Farmingdale State College; Wenhai Li, Farmingdale State College; Khosro Shirvani, State University of New York, College of Technology at Farmingdale; Yue Hung, Farmingdale State College; Yizhe Chang, California State Polytechnic University, Pomona; Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

interdisciplinary topics involving Mechanical Engineering, Electrical Engineering, and Computer Science.Wenhai Li, Farmingdale State College Assistant Professor in Department of Mechanical Engineering Technology, Farmingdale State College, Farmingdale, NY 11735Dr. Khosro Shirvani, State University of New York, College of Technology at Farmingdale Khosro Shirvani, Ph.D. is an assistant professor in the Mechanical Engineering Technology at Farmingdale State University (FSU). His research areas include surface engineering, heat management in manufacturing processes, fabrication, and characterizationDr. Yue Hung, Farmingdale State College Dr. Yue (Jeff) Hung holds degrees in engineering and technology disciplines (Ph.D. in Materials

Relevance Score: 0.93815213

PictoConecta: Technological Support for Communication for Autistic People in daily enviroments

Conference Session: Computers in Education Division (COED) Track 4.C
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Paulina Henríquez Lagos, Universidad Andres Bello; Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile; Ruben Orlando Baeza, Accion Integra; Luis Rojas, Universidad San Sebastián
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #46889PictoConecta: Technological Support for Communication for Autistic Peoplein daily enviromentsPaulina Henr´ıquez Lagos, Universidad Andres Bello Industrial Engineering and MSc. in Computer Science by Universidad Andres Bello ˜ del Mar, ChileDr. Juan Felipe Calder´on, Universidad Andres Bello, Vina Juan Felipe Calder´on received the bachelor’s in computer science and MSc and PhD degrees in engineering sciences from the Pontificia Universidad Cat´olica de Chile. He is an assistant professor in the Faculty of Engineering at the Universidad Andres Bello. His

Relevance Score: 0.8443525

BOARD # 80: The 100-mile diet adaptations: Addressing climate anxiety through educational technology and experiential learning

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #46616BOARD # 80: The 100-mile diet adaptations: Addressing climate anxietythrough educational technology and experiential learningDr. Gerald Tembrevilla, Mount Saint Vincent University Gerald Tembrevilla obtained his PhD in science (physics) education at the University of British Columbia. He served as a postdoctoral fellow in the Faculty of Engineering at McMaster University. Currently, he is an Assistant Professor at Mount Saint Vincent University in Halifax, Canada and teaching and researching on the integration of learning technologies to improve hands-on science, scientific argumentation skills, and

Relevance Score: 0.7028499

BOARD # 94: WIP: Shaping the Future of Learning: The rAIder Strategy for Applied AI-Driven Education at MSOE

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

inequity in education.The Milwaukee School of Engineering (MSOE) recognized the necessity for evolution in highereducational practices and responded by introducing the rAIder Strategy in Fall 2024. Thisinitiative aims to close the gap between current educational methodologies and future workforcerequirements within a rapidly changing field by integrating applied AI throughout many areas ofthe academic ecosystem. As a result, all MSOE graduates, irrespective of their academicdisciplines, will possess comprehensive AI literacy by the time they graduate.Within the rAIder Strategy, applied AI includes teaching and practicing responsible use of coreAI technologies across diverse academic disciplines such as computer and data science, userexperience

Relevance Score: 0.6183025

Recent Trends on Technology Choices of STEM Majors for Solving Calculus Questions and Changes Over Years on Relevant Decision Making

Conference Session: Computers in Education Division (COED) Track 6.B
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Emre Tokgoz, State University of New York - Farmingdale
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #45600Recent Trends on Technology Choices of STEM Majors for Solving CalculusQuestions and Changes Over Years on Relevant Decision MakingDr. Emre Tokgoz, State University of New York - Farmingdale Emre Tokgoz is a faculty of Department of Computer Security at SUNY - Farmingdale. His research interests in STEM education include understanding and proposing improvement ideas for advancing undergraduate and graduate students conceptual mathematics, engineering, computing, and cybersecurity knowledge. ©American Society for Engineering Education, 2025 Recent Trends in Technology Choices of STEM

Relevance Score: 0.5682322

BOARD # 85: WIP: BST Cards: A Tangible Binary Search Tree (BST) Activity for Developing Algorithmic Thinking in Middle School Students

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Duncan Johnson, Tufts Center for Engineering Education and Outreach; Ethan E Danahy, Tufts University; Elliot Benjamin Roe, Georgia Institute of Technology
Tagged Divisions: Computers in Education Division (COED)

technologies that introduce elementary and middle school students to Computer Science. Currently, he’s exploring how technologies can leverage generative AI to better support educators.Dr. Ethan E Danahy, Tufts University Dr. Ethan Danahy is a Research Associate Professor at the Center for Engineering Education and Outreach (CEEO) with secondary appointment in the Department of Computer Science within the School of Engineering at Tufts University. Having received his graduate degrees in Computer Science and Electrical Engineering from Tufts University, he continues research in the design, implementation, and evaluation of different educational technologies. With particular attention to engaging students in the STEAM content

Relevance Score: 0.55012476

BOARD # 66: Does Gender Play a Role? An Explorative Study on the Differences in Educational Approaches Towards Artificial Intelligence Literacy

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Jinyi Jiang, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Project and holds editorial roles as Associate Editor of the IEEE Transactions on Education and Editorial Board Member for the Journal of Research and Practice in Technology Enhanced Learning. He is also the upcoming Program Chair-Elect of the PCEE Division at ASEE. His current research interests include STEM+C education, specifically artificial intelligence literacy, computational thinking, and engineering. ©American Society for Engineering Education, 2025Bridging Gender and Disciplinary Gaps: A Tri-Pillar Framework forInclusive Artificial Intelligence Literacy among Female UndergraduatesAbstractAs Artificial Intelligence (AI) becomes integral across various sectors, AI literacy has emergedas an

Relevance Score: 0.47997257

Toward the Use of LLMs to Support Curriculum Mapping to Established Frameworks

Conference Session: Computers in Education Division (COED) Track 3.C
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Eric L Brown, Tennessee Technological University; Douglas A. Talbert, Tennessee Technological University; Jesse Roberts, Tennessee Technological University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #47945Toward the Use of LLMs to Support Curriculum Mapping to EstablishedFrameworksMr. Eric L Brown, Tennessee Technological University Eric L. Brown is an education leader with over 28 years of experience in higher education, currently serving as the Associate Director of Workforce Development for the Cybersecurity, Education, Research, and Outreach Center at Tennessee Tech University. As a senior lecturer in the Computer Science department, Eric teaches various cybersecurity courses and agile-focused software engineering. His prior experiences include serving as a District Solutions Advocate for the Tennessee

Relevance Score: 0.4663078

Examining Student Resolutions of Automated Critiques

Conference Session: Computers in Education Division (COED) Track 6.B
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Laura Albrant, Michigan Technological University; Michelle E Jarvie-Eggart P.E., Michigan Technological University; Leo C. Ureel II, Michigan Technological University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #49307Examining Student Resolutions of Automated CritiquesLaura Albrant, Michigan Technological University After completing a bachelor’s degree in computer science, Laura Albrant decided to challenge how she viewed software development, by switching departments. Currently working towards a PhD in Applied Cognitive Science & Human Factors at Michigan Technological University, Laura pursues interests on both sides of the fence through education research.Dr. Michelle E Jarvie-Eggart P.E., Michigan Technological University Dr. Jarvie-Eggart is a registered professional engineer with over a decade of experience as

Relevance Score: 0.412784

Enhancing Engineering Learning through MathCAD

Conference Session: Computers in Education Division (COED) Track 4.A
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Xiuhua Si, California Baptist University; Keith Hekman, California Baptist University; Jinxiang Xi
Tagged Divisions: Computers in Education Division (COED)

, vol. 12, no. 2, pp. 257-285, 1988.[2] Y. Tang, H. Bai and R. Catrambone, "Developing Deliberate Practice for Learning Engineering by Analyzing Students’ Mental Models," in ASEE 2022 Annual Conference, Minneapolis, Minnesota, 2022.[3] B. Morrison, "Using Cognitive Load Theory to Improve Efficiency of Learning to Program," in ICER’13 Proceedings of the Ninth Annual International ACM Conference on International Computation Education Research, San Diego, California, 2013.[4] T. Impelluso, "Leveraging Cognitive Load Theory, Scaffolding, and Distance Technologies to Enhance Computer Programming for Non-Majors," Advances in Engineering Education, Spring 2009.[5] N. Van Hattum-Janssen, "Using MathCAD in engineering education

Relevance Score: 0.3908732

Game-Based Learning in a Manufacturing Setting to Teach Statistical Process Control

Conference Session: Computers in Education Division (COED) Track 5.C
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Erik Verlage, The Ohio State University; Christian Gabbianelli, Massachusetts Institute of Technology; Kachina Studer, Massachusetts Institute of Technology; Ashim Dhakal, The Ohio State University; Zhen Zhao, Massachusetts Institute of Technology; Meredith Thompson, Massachusetts Institute of Technology; John Liu, Massachusetts Institute of Technology
Tagged Divisions: Computers in Education Division (COED)

application-focused learning games and micron-scale optical circuit simulations to teach photonics fundamentals.Christian Gabbianelli, Massachusetts Institute of Technology A software developer working with realtime engines to build immersive, interactive and dynamic training simulations.Kachina Studer, Massachusetts Institute of Technology Kachina Studer is an XR Technical Specialist at MIT, working with the Learning Engineering and Practice Group in the Department of Mechanical Engineering. Her work focuses on the development of immersive learning tools, open-ended training systems, and simulation-based environments in virtual and augmented reality. Her initiatives center on designing XR authoring platforms that enable

Relevance Score: 0.3806756

BOARD # 76: Pedagogical Agents in the age of Generative Artificial Intelligence: Opportunities and Challenges in K-12 STEM Education.

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Rawan Adnan Alturkistani, Virginia Tech Department of Engineering Education; Mohammed Seyam, Virginia Polytechnic Institute and State University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #48429BOARD # 76: Pedagogical Agents in the age of Generative Artificial Intelligence:Opportunities and Challenges in K-12 STEM Education.Mrs. Rawan Adnan Alturkistani, Virginia Tech Department of Engineering Education Rawan Alturkistani is a Ph.D. student in Computer Science at Virginia Tech. She holds a Master’s degree in Computer Science from Bowling Green State University (BGSU). Her research focuses on the intersection of artificial intelligence and education, with a particular interest in the design and impact of pedagogical agents in technology-enhanced learning environments. She is currently exploring the

Relevance Score: 0.37558475

Development of a Cost-Effective Kit for an International Learning Experience in the Context of Generative Artificial Intelligence

Conference Session: Computers in Education Division (COED) Track 4.D
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Carlos Sotelo, Tecnologico de Monterrey, School of Engineering and Sciences; David Sotelo, Tecnologico de Monterrey, School of Engineering and Sciences; Erick Ramírez-Cedillo, Tecnologico de Monterrey, School of Engineering and Sciences; Félix Martínez-Jiménez, Tecnologico de Monterrey, School of Engineering and Sciences; Ana I. Benavides Lahnstein, Manchester Metropolitan University; Alison Buxton, University of Sheffield
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

promoting and establishing a healthy engineeringeducation ecosystem in schools and universities. Indeed, current AM technologies enable theexploration of recycled materials [18]. Hence, a motivating and sustainable learning tool can bedesigned for teaching.Materials and MethodsEven though Science, Technology, Engineering, and Mathematics (STEM) offers aninterdisciplinary perspective with a positive contribution to students’ creativity, achievement,motivation, critical thinking, problem solving, and higher order skills [19], traditional typeclassrooms often do not encourage students’ curiosity in these disciplines [20].The present research work is the culmination of one year of a Worldwide Universities Network(WUN) - funded project, and it is based

Relevance Score: 0.37228447

Analyzing Feedback of an AI tool for formative feedback of Technical Writing abilities

Conference Session: Computers in Education Division (COED) Track 2.B
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Sean P Brophy, Purdue University at West Lafayette (COE); Fadhla Binti Junus, Purdue Engineering Education
Tagged Divisions: Computers in Education Division (COED)

Paper ID #48290Analyzing Feedback of an AI tool for formative feedback of Technical WritingabilitiesDr. Sean P Brophy, Purdue University at West Lafayette (COE) Dr. Sean Brophy is a learning scientist, computer scientists and mechanical engineering who design learning environments enhances with technology. His recent research in engineering design focuses on students’ development of computational thinking through physical computing. His work involves students’ design of smart systems that integrate both hardware and software to achieve a client’s needs. In this work students communicate their ideas through proposal

Relevance Score: 0.36934057

A Complete Redesign of CS1 for Engineering Students

Conference Session: Computers in Education Division (COED) Track 3.B
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Yuxuan Chen, University of Illinois Urbana-Champaign; Chenyan Zhao, University of Illinois Urbana-Champaign; Kangyu Feng, University of Illinois Urbana-Champaign; Mattox Alan Beckman, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign
Tagged Divisions: Computers in Education Division (COED)

Paper ID #47345A Complete Redesign of CS1 for Engineering StudentsMr. Yuxuan Chen, University of Illinois Urbana-Champaign Yuxuan Chen is a Master of Science student in Computer Science at the University of Illinois Urbana-Champaign. His primary research interests focus on computer science education and artificial intelligence. He is dedicated to enhancing student learning experiences and accessibility in computing education through both innovative technology and research-driven teaching practices.Mr. Chenyan Zhao, University of Illinois Urbana-Champaign Master of Science student in Computer Science at University of

Relevance Score: 0.3419759

WIP: Gen AI in Engineering Education and the Da Vinci Cube

Conference Session: Computers in Education Division (COED) Track 2.C
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Tammy Mackenzie, The Aula Fellowship; Lisa D. McNair, Virginia Tech; Rubaina Khan, University of Toronto; Animesh Paul, University of Georgia; Sreyoshi Bhaduri, Private Corporation
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #49134WIP: Gen AI in Engineering Education and the Da Vinci CubeTammy Mackenzie, The Aula Fellowship EcoTech CEO, inventor, MBA, human rights activist, philosopher, and researcher of the intersections between strategic management, institutions, and systems theories.Dr. Lisa D. McNair, Virginia Tech Lisa D. McNair is Professor of Engineering Education and Director of Arts and Education at the Institute for Creativity, Arts and Technology (ICAT) at Virginia Tech. She is an executive committee member for a2ru and an editorial board member for Ground Works journal. Her research and teaching interests include

Relevance Score: 0.30111346

LLM Prompting Methodology and Taxonomy to Benchmark our Engineering Curriculums

Conference Session: Computers in Education Division (COED) Track 2.C
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Peter Jamieson, Miami University; Suman Bhunia, Miami University; George D. Ricco, Miami University; Brian A Swanson, Miami University; Bryan Van Scoy, Miami University
Tagged Divisions: Computers in Education Division (COED)

IntroductionOur engineering and higher education curriculum’s complexity is greater than this projectcontends to explore. However, there are many trends in modern society that we believe must beaddressed in our curriculums in the short term for our students’ benefit: 1. A broad education that includes understanding how computing technologies as tools and essential infrastructure of our world impacts all of us. 2. Modern industry seeks a diverse workforce as this diversity impacts all facets of design. We need to help teach this diverse workforce. This includes pushing the narrative so that all walks of human life can see themselves as engineer, which seems to be directly linked to early efficacy within the fields [1] [2

Relevance Score: 0.301081

BOARD # 79: Student-led VR Content Creation for Engaging Engineering Learning

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Nicholas Cameron Amely, California State University, Fresno; Wei Wu, California State University, Fresno; Jesus Leyva, California State University, Fresno
Tagged Divisions: Computers in Education Division (COED)

, Construction, and Planning from the University of Florida in 2010. Dr. Wu’s teaching interests include Construction and Engineering Graphics, Design Visualization, Design-Build Project Delivery, Building Information Modeling (BIM), Advanced Planning and Pre-construction, and Construction Management Senior Capstone. He received the 2018 Teaching Excellence Award of the Associated Schools of Construction (Region 7) and the 2019 Provost Award in Innovation from Fresno State. Dr. Wu’s research focuses on BIM, educational technology, extended reality (XR), and construction and engineering education. He has published more than 70 articles and conference proceedings in these areas. Dr. Wu’s research has been funded by regional and

Relevance Score: 0.29803023

Incorporating Artifical Intelligence Concepts and Algorithms into Foundational Engineering Courses

Conference Session: Computers in Education Division (COED) Track 2.C
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Deana Delp, Arizona State University
Tagged Divisions: Computers in Education Division (COED)

et al. demonstrated that students in afreshman-level engineering class preferred working on a machine learning project, whichhighlights the value of interactive and project-based learning approaches in promoting deeperengagement and understanding [8]. Faculty must stay up to date with these rapidly changingtechnologies to familiarize students with the practical applications of AI [9]. By integrating AIinto the curriculum and emphasizing both theoretical and practical learning, educational systemscan supply students with the skills and knowledge to succeed in a future driven by AI. Thisapproach ensures that individuals are not only consumers of technology but also contributors andcollaborators in shaping the future.Generative AI and Machine

Relevance Score: 0.29783756

Generative AI as a Tool for Effective Problem Generation in Engineering

Conference Session: Computers in Education Division (COED) Track 2.B
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Runu Proma Das, University of Georgia; Tathyana Moratti, University of Georgia; Shari Gasper, University of Georgia; Beshoy Morkos, University of Georgia
Tagged Divisions: Computers in Education Division (COED)

settings affect student performance and academic success. However, thereremains a notable gap in understanding how various sources of problem generation, includingexperts, textbooks, and advanced technologies such as artificial intelligence tools, affect students'performance in engineering. 2.3. Student Performance with Generative AIGenerative Artificial Intelligence (Gen-AI) represents an advanced form of artificial intelligencethat generates content by identifying patterns within pre-trained data [34]. This technology is acombination of autoregressive models, Variational Autoencoders (VAEs), and GenerativeAdversarial Networks (GANs) [35]. A notable accomplishment in this field is the developmentof complicated language models, such as

Relevance Score: 0.29761648

From Mathematical Theory to Engineering Application: An Undergraduate Student’s Research Journey

Conference Session: Computers in Education Division (COED) Track 5.C
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Tony Malayil, Florida Atlantic University; Daniel Raviv, Florida Atlantic University; Juan David Yepes, Florida Atlantic University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Mathematical Theory to Engineering Application: An Undergraduate Student’s Research JourneyAbstract With the rapid development of autonomous vehicles and advanced sensing technologies,the demand for expertise in computer vision has surged. However, many undergraduate studentshave limited or no exposure to this growing field. This paper documents an undergraduatestudent's journey in learning and implementing a Time-to-Contact (TTC) algorithm—a criticaltool that estimates the time until a moving observer collides with an object— thus expanding therange of vehicles that can be driven autonomously. By sharing this experience, the paperprovides a roadmap for other instructors to guide their students in acquiring essential knowledgeand

Relevance Score: 0.29621297

BOARD # 63: AI Chatbot for Enhancing Troubleshooting in Engineering Labs

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Marshall Ismail, Worcester Polytechnic Institute; Devin Kachadoorian, Worcester Polytechnic Institute; Sahil Mirani, Worcester Polytechnic Institute; D. Matthew Boyer, Clemson University; Tim Ransom, Clemson University; Ahmet Can Sabuncu, Worcester Polytechnic Institute
Tagged Divisions: Computers in Education Division (COED)

University. Dr. Sabuncu’s professional interests spans from engineering education research, history of science and engineering, thermo-fluids engineering, and microfluidic technology. ©American Society for Engineering Education, 2025 AI Chatbot for Enhancing Troubleshooting in Engineering LabsIntroduction Engineering education fosters critical thinking, creativity, and professional identitythrough hands-on laboratory experiences that bridge theoretical knowledge and real-worldapplication. Laboratories develop practical engineering skills and cultivate problem-solvingabilities, sensory awareness, and technical intuition, preparing students to tackle complex,real-world challenges with confidence and

Relevance Score: 0.29558912

Leveraging AI-based Tools to Teach Literature Review for Engineering Students and Professionals: A Case Study

Conference Session: Computers in Education Division (COED) Track 4.B
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Arezou Harraf; Yuetong Lin, Embry-Riddle Aeronautical University - Worldwide; A. Mehran Shahhosseini, Indiana State University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #49398Leveraging AI-based Tools to Teach Literature Review for Engineering Studentsand Professionals: A Case StudyDr. Arezou Harraf, Dr. Arezou Harraf Head of Department of Business Studies Assistant Professor Box Hill College KuwaitDr. Yuetong Lin, Embry-Riddle Aeronautical University - Worldwide Yuetong Lin received the Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, Tucson, in 2005. He was with Indiana State University from 2005 to 2016, where he became associate professor of Electronics and Computer Engineering Technology. He joined Embry-Riddle Aeronautical University

Relevance Score: 0.25315988

BOARD # 87: WIP: Democratizing Generative AI Quiz Creation: Accelerating Assessment Development in Engineering Education

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: John William Hassell, OU Polytechnic Institute; Christopher Freeze, The University of Oklahoma; Ahmed Ashraf Butt, The University of Oklahoma; H. Glen McGowan III, Google; William Ray Freeman
Tagged Divisions: Computers in Education Division (COED)

gap between academia and industry practice through learning-by-doing.Christopher Freeze, The University of OklahomaMr. Ahmed Ashraf Butt, The University of Oklahoma Dr. Ahmed Ashraf Butt is an Assistant Professor at the University of Oklahoma. He recently completed his Ph.D. in the School of Engineering Education at Purdue University and pursued post-doctoral training at the School of Computer Science, Carnegie Mellon University (CMU). He has cultivated a multidisciplinary research portfolio bridging learning sciences, Human-Computer Interaction (HCI), and engineering education. His primary research focuses on designing and developing educational technologies that facilitate various aspects of student learning, such as

Relevance Score: 0.2529143

Enhancing Coding Skills and Learning Efficiency in Engineering Programming Courses by Using AI Tools

Conference Session: Computers in Education Division (COED) Track 5.D
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Milad Rezvani Rad, University of Southern Indiana; Ronald Diersing, University of Southern Indiana; Ryan Integlia, University of Southern Indiana; Julian Ly Davis, University of Southern Indiana
Tagged Divisions: Computers in Education Division (COED)

indicates that students perceive significant value in these technologies, underscoring theimportance of ongoing refinement and thoughtful integration of AI into educational contexts.It is also important to recognize potential ethical considerations regarding the use of ChatGPT inan engineering education context, such as how its integration might influence students'independent problem-solving and debugging skills, with respect to MATLAB. To betterunderstand these implications, future surveys could include questions designed to explore students'perspectives on ethical aspects of using AI tools. This approach would support a balanced andthoughtful discussion about the effective and responsible integration of AI in education.There are several possible

Relevance Score: 0.25056326

Literature Review of Using AI Tools to Enhance Engineering Students’ Proficiency of Professional Skills

Conference Session: Computers in Education Division (COED) Track 6.D
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Shana Shaw, Texas A&M University; L. Taylor Starr, Texas A&M University; laila badran, Texas A&M University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

.” Trends of engineering curriculum executed to teach professionalskills, manners in which generative AI was used in the engineering classroom, the largest skillsgap topics, and the overall significance of the skills gap size were considered when synthesizingthe literature data. The topics were then sorted to answer the two research questions.Results This literature review focused on two major sets of literature: professional skills and theacademia-industry readiness gap in engineering as well as AI use in engineering educationconcerning professional skills development.Prominent Professional Skills The Accreditation Board for Engineering and Technology (ABET) accreditation includesprofessional skills as part of the engineering